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Llama-3-Instruct-8B-SimPO – AI Model by haoranxu | AlphaNeural AI
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haoranxu
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Llama-3-Instruct-8B-SimPO
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transformers
safetensors
llama
text-generation
alignment-handbook
generated_from_trainer
conversational
princeton-nlp/llama3-ultrafeedback
meta-llama/Meta-Llama-3-8B-Instruct
finetune
llama3
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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llama-3-8b-instruct-simpo
This model is a fine-tuned version of
meta-llama/Meta-Llama-3-8B-Instruct
on the princeton-nlp/llama3-ultrafeedback dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 1e-06
train_batch_size: 2
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 16
gradient_accumulation_steps: 8
total_train_batch_size: 256
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
Training results
Framework versions
Transformers 4.41.2
Pytorch 2.3.1+rocm6.0
Datasets 2.19.2
Tokenizers 0.19.1
